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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2008_SIHRIE-R2_V01_M / variable [F21]
impact_evaluation

Schooling, Income, and Health Risk Impact Evaluation Household Survey 2008-2009, Round 2 (Midline)

Malawi, 2008 - 2009
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Reference ID
MWI_2008_SIHRIE-R2_v01_M
DOI
https://doi.org/10.48529/p47c-7345
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Collection(s)
Impact Evaluation Surveys The Strategic Impact Evaluation Fund (SIEF)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 16, 2015
Last modified
Sep 16, 2015
Page views
90846
Downloads
2997
  • Study Description
  • Data Description
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  • Data files
  • baseline_controls_public
  • sihr_identifiers
  • SIHR2_P1_S1_public
  • SIHR2_PI_S2_public
  • SIHR2_PI_S3_public
  • SIHR2_PI_S4_public
  • SIHR2_PI_S5_public
  • SIHR2_PI_S6a_public
  • SIHR2_PI_S6b_public
  • SIHR2_PI_S6c_public
  • SIHR2_PI_S7_public
  • SIHR2_PI_S8_public
  • SIHR2_PII_S09_public
  • SIHR2_PII_S10_public
  • SIHR2_PII_S11_public
  • SIHR2_PII_S12A_public
  • SIHR2_PII_S12B_public
  • SIHR2_PII_S13_public
  • SIHR2_PII_S14_public
  • SIHR2_PII_S15A_public
  • SIHR2_PII_S15B_public
  • SIHR2_PII_S16A_public
  • SIHR2_PII_S16B_public
  • SIHR2_PII_S16C_public
  • SIHR2_PII_S17_public

Other amount (MK) a month from now (s15q12)

Data file: SIHR2_PII_S15A_public

Overview

Valid: 970
Invalid: 2597
Type: Discrete
Decimal: 0
Start: 90
End: 95
Width: 6
Range: 100 - 999999
Format: Numeric

Questions and instructions

Question pretext
Now I want to ask you some questions about a hypothetical situation. Suppose you have earned 500 Kwacha for work that you have done for a trustworthy neighbor during the last week. The neighbor gives you an option for how he pays you for this work. One option is that you get paid today. The alternative option will be to get a slightly higher payment in a month from now.
Literal question
How much would the neighbor have to pay you one month from today so that you would prefer to be paid in one month rather than receiving 500 Kwacha
Categories
Value Category Cases
100 1
0.1%
500 49
5.1%
600 1
0.1%
700 2
0.2%
800 104
10.7%
850 12
1.2%
900 54
5.6%
950 3
0.3%
1000 506
52.2%
1100 1
0.1%
1200 29
3%
1250 1
0.1%
1300 5
0.5%
1500 96
9.9%
1700 4
0.4%
1800 1
0.1%
2000 70
7.2%
2500 7
0.7%
3000 15
1.5%
3500 3
0.3%
5000 1
0.1%
5500 2
0.2%
8000 1
0.1%
888888 Don't know 0
0%
999999 Missing 2
0.2%
Sysmiss 2597
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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